CN113327065B - Energy management method and system aiming at complicated electricity utilization condition of user at power generation side - Google Patents
Energy management method and system aiming at complicated electricity utilization condition of user at power generation side Download PDFInfo
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The application discloses an energy management method aiming at complicated electricity consumption conditions of users at a power generation side, which comprises the steps of counting electricity consumption load information of the users in an district of the power generation side, wherein the counting comprises the steps of recording historical electricity consumption conditions of the users; recording power generation stability and power generation information of a power generation side at the same time relative to a user power utilization side, and calculating a scheduling adjustment coefficient relative to the power utilization side based on power generation stability parameters and power generation information of the power generation side; obtaining an electricity utilization inertial function of a user through fitting according to an electricity consumption range obtained by historical electricity utilization conditions of the user at an electricity utilization side, and based on peak value data of the obtained electricity utilization inertial function; and adjusting the scheduling priority levels of the power generation units on the power generation side according to the obtained combined power generation scheduling mode on the power generation side corresponding to the scheduling adjustment coefficient to obtain a scheme of the power generation scheduling mode corresponding to the scheduling adjustment coefficient close to the preset scheduling adjustment coefficient, and optimizing balance between a user on the power utilization side and the power generation side to finish scheduling.
Description
Technical Field
The application relates to the technical field of energy scheduling, in particular to an energy management method and system aiming at the complex electricity utilization condition of a user at a power generation side.
Background
At present, in order to reduce carbon emission and alleviate climate warming, many countries begin to focus on research on renewable energy power grids, and renewable energy is a green energy, and is characterized in that emission is pollution-free and can be directly used for production, and the renewable energy power supply in a regional power grid mainly comprises solar energy, wind energy, water energy, nuclear energy, geothermal energy and the like, and 2 conditions are required to be met: firstly, the energy source composition in the regional power grid is water, wind, light and other renewable energy sources; and secondly, the total power generation amount of the renewable energy sources in the regional power grid at any moment is larger than the total load in the regional power grid.
Energy is the basis of survival and development of modern society, and new energy technologies are actively researched in various countries in order to cope with energy crisis and environmental pollution. Renewable energy sources are highly valued by people because of the characteristics of inexhaustibility, cleanness, environmental protection and the like. However, the renewable energy-based distributed power generation system cannot fully ensure spontaneous self-use due to intermittent performance and fluctuation, and therefore needs to be interconnected with other distributed power grids or public power grids, so that transformation upgrading and development of a traditional power grid to a future power grid are promoted. In the development process, the centralized control management mode of the traditional power network is difficult to adapt to the requirement of large-scale utilization of renewable energy, and then an intelligent distributed energy network technology is introduced, so that the intelligent distributed energy network technology becomes an important component for constructing the future energy Internet.
Due to the intermittence and fluctuation of renewable energy power generation, the regional power grid has the problem of low energy efficiency, and the energy storage system has good adjustment capability, so that the power generation plan tracking capability can be greatly improved, and the wind and light rejection rate can be reduced. In addition, the energy storage system has a four-quadrant regulating function, and can participate in peak value regulation, voltage regulation, frequency regulation and the like of a power grid. The comprehensive energy utilization scheme mainly depends on planning stage data and historical experience, lacks real-time monitoring, and each system operation and maintenance personnel is only responsible for the problem that configuration is unbalanced and resource waste is caused by independent operation under the condition of single energy, and considering that only a small amount of necessary information participates in scheduling and control, a large amount of data circulation can bring heavy burden to a computing center, and meanwhile, communication blockage can bring time lag and packet loss, so that the problems of network congestion, low computing capacity and long response time are caused.
Disclosure of Invention
The present application aims to solve at least one of the technical problems existing in the prior art. Therefore, the application discloses an energy management method aiming at the complex electricity consumption condition of a user at a power generation side, which comprises the following steps:
step 1, counting electricity load information of users in a power generation side district, wherein the counting comprises recording historical electricity consumption conditions of the users; recording power generation stability and power generation information of a power generation side at the same time relative to a user power utilization side, and calculating a scheduling adjustment coefficient relative to the power utilization side based on power generation stability parameters and power generation information of the power generation side;
step 2, obtaining a power consumption inertial function of a user through fitting according to a power consumption range obtained by historical power consumption conditions of the user at a power consumption side, and based on peak value data of the obtained power consumption inertial function;
and 3, adjusting the dispatching priority levels of the plurality of power generation units on the power generation side according to the combined power generation dispatching mode of the power generation side corresponding to the dispatching adjustment coefficient obtained in the step 1 to obtain a scheme of the power generation dispatching mode corresponding to the dispatching adjustment coefficient close to the preset, and optimizing balance of a user on the power utilization side and the power generation side to finish dispatching.
Further, the power utilization side calculates a scheduling adjustment coefficient proportional to the slope of the tangent of the power utilization inertia function, and the larger the adjustment coefficient is, the more aggressive the scheduling adjustment is made.
Further, the power generation stability parameter indicates the capability of priority adjustment that can be performed by each power generation unit on the power generation side, and the larger the power generation stability parameter is, the stronger the power scheduling capability of each power generation unit is.
Further, the power consumption side at time t calculates a scheduling adjustment coefficient K (t) as follows:
wherein, max (u) is the maximum value in the electricity consumption range obtained by the historical electricity consumption condition of the user at the electricity consumption side, namely the peak value data in the fitted electricity inertia function, and Min (u) is the minimum value in the electricity consumption range obtained by the historical electricity consumption condition of the user at the electricity consumption side; f (t) is a power generation function, gamma (t) is a power generation stability parameter, and theta is a translation coefficient.
Further, the obtaining the electric inertia function of the user through fitting further comprises: the fitting is a two-section fitting function used for fitting the idle electricity consumption condition and the high-load electricity consumption condition respectively.
Furthermore, each electric unit has an initial priority, and after the electric side at the time t is received to calculate the scheduling adjustment coefficient, the power generation scheduling mode corresponding to the scheduling adjustment coefficient is obtained by adjusting the initial priority when the time t is reached.
Furthermore, the scheduling adjustment coefficients correspond to schemes of different power generation scheduling modes, and when the scheduling adjustment coefficients are low, the power generation unit is adjusted in a hysteresis way, namely, the power generation unit is adjusted after receiving power utilization side feedback; when the adjustment coefficient is scheduled, the adjustment of the power generation unit is real-time adjustment, namely, the adjustment is carried out when the feedback of the power utilization side is received; and when the dispatching adjustment coefficient is high, adjusting the power generation unit to be preset, namely dispatching by adopting an adjustment scheme at the time t-1.
The application further discloses an energy management system aiming at the complex electricity consumption situation of the user at the electricity generation side, wherein the energy management system comprises the electricity consumption side and the electricity generation side, the electricity generation side comprises a plurality of electricity generation units and a data statistics module, the data statistics module is used for counting the electricity consumption load information of the user in the district of the electricity generation side, and the statistics comprises recording the historical electricity consumption situation of the user; recording power generation stability and power generation information of a power generation side at the same time relative to a user power utilization side, and calculating a scheduling adjustment coefficient relative to the power utilization side based on power generation stability parameters and power generation information of the power generation side; the power consumption data calculation module is used for obtaining a power consumption inertial function of a user through fitting according to a power consumption range obtained by historical power consumption conditions of the user at the power consumption side and based on peak data of the obtained power consumption inertial function; the scheduling module is used for adjusting the scheduling priority levels of the power generation units of the power generation side according to the obtained combined power generation scheduling mode of the power generation side corresponding to the scheduling adjustment coefficient to obtain a scheme of the power generation scheduling mode corresponding to the scheduling adjustment coefficient close to the preset scheduling adjustment coefficient, and optimizing the balance of the power utilization side user and the power generation side to finish scheduling; the power utilization side calculates a dispatching adjustment coefficient proportional to the slope of the tangent of the power utilization inertia function, the larger the adjustment coefficient is, the more aggressive the dispatching adjustment is performed, the power generation stability parameter represents the capability of priority adjustment which can be performed by each power generation unit on the power generation side, and the larger the power generation stability parameter is, the stronger the power dispatching capability of each power generation unit is; the power consumption side at the time t calculates a scheduling adjustment coefficient K (t) as follows:
wherein, max (u) is the maximum value in the electricity consumption range obtained by the historical electricity consumption condition of the user at the electricity consumption side, namely the peak value data in the fitted electricity consumption inertia function, and Min (u) is the minimum value in the electricity consumption range obtained by the historical electricity consumption condition of the user at the electricity consumption side; f (t) is a power generation function, gamma (t) is a power generation stability parameter, and theta is a translation coefficient; the obtaining the electric inertia function of the user through fitting further comprises the following steps: the fitting is a two-section fitting function, and is used for respectively fitting idle electricity consumption conditions and high-load electricity consumption conditions, each electric unit of the application respectively has an initial priority level, and after the electricity consumption side at the moment t is received to calculate a scheduling adjustment coefficient, the initial priority level is adjusted when the moment t is reached to obtain a scheme of a power generation scheduling mode corresponding to the scheduling adjustment coefficient close to the preset scheduling adjustment coefficient; the scheduling adjustment coefficients correspond to schemes of different power generation scheduling modes, and when the scheduling adjustment coefficients are low, the power generation unit is adjusted to be in hysteresis adjustment, namely, adjustment is performed after power utilization side feedback is received; when the adjustment coefficient is scheduled, the adjustment of the power generation unit is real-time adjustment, namely, the adjustment is carried out when the feedback of the power utilization side is received; and when the dispatching adjustment coefficient is high, adjusting the power generation unit to be preset, namely dispatching by adopting an adjustment scheme at the time t-1.
The application also provides an electronic device, comprising:
a memory for storing a computer program;
and the processor is used for realizing the steps of the energy management method aiming at the complicated electricity utilization condition of the user at the electricity generation side when executing the computer program.
The application also provides a computer readable storage medium, which is characterized in that the computer readable storage medium stores a computer program, and the computer program realizes the steps of the energy management method aiming at the complicated electricity consumption condition of the user at the electricity generation side when being executed by a processor.
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The application will be further understood from the following description taken in conjunction with the accompanying drawings. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the embodiments. In the figures, like reference numerals designate corresponding parts throughout the different views.
FIG. 1 is a schematic diagram of a logic flow of the present application.
Detailed Description
Example 1
As shown in fig. 1, the method for managing energy sources for complicated electricity consumption conditions of users on a power generation side includes the following steps:
step 1, counting electricity load information of users in a power generation side district, wherein the counting comprises recording historical electricity consumption conditions of the users; recording power generation stability and power generation information of a power generation side at the same time relative to a user power utilization side, and calculating a scheduling adjustment coefficient relative to the power utilization side based on power generation stability parameters and power generation information of the power generation side;
step 2, obtaining a power consumption inertial function of a user through fitting according to a power consumption range obtained by historical power consumption conditions of the user at a power consumption side, and based on peak value data of the obtained power consumption inertial function;
and 3, adjusting the dispatching priority levels of the plurality of power generation units on the power generation side according to the combined power generation dispatching mode of the power generation side corresponding to the dispatching adjustment coefficient obtained in the step 1 to obtain a scheme of the power generation dispatching mode corresponding to the dispatching adjustment coefficient close to the preset, and optimizing balance of a user on the power utilization side and the power generation side to finish dispatching.
Further, the power utilization side calculates a scheduling adjustment coefficient proportional to the slope of the tangent of the power utilization inertia function, and the larger the adjustment coefficient is, the more aggressive the scheduling adjustment is made.
Further, the power generation stability parameter indicates the capability of priority adjustment that can be performed by each power generation unit on the power generation side, and the larger the power generation stability parameter is, the stronger the power scheduling capability of each power generation unit is.
Further, the power consumption side at time t calculates a scheduling adjustment coefficient K (t) as follows:
wherein, max (u) is the maximum value in the electricity consumption range obtained by the historical electricity consumption condition of the user at the electricity consumption side, namely the peak value data in the fitted electricity inertia function, and Min (u) is the minimum value in the electricity consumption range obtained by the historical electricity consumption condition of the user at the electricity consumption side; f (t) is a power generation function, gamma (t) is a power generation stability parameter, and theta is a translation coefficient.
Further, the obtaining the electric inertia function of the user through fitting further comprises: the fitting is a two-section fitting function used for fitting the idle electricity consumption condition and the high-load electricity consumption condition respectively.
Furthermore, each electric unit has an initial priority, and after the electric side at the time t is received to calculate the scheduling adjustment coefficient, the power generation scheduling mode corresponding to the scheduling adjustment coefficient is obtained by adjusting the initial priority when the time t is reached.
Furthermore, the scheduling adjustment coefficients correspond to schemes of different power generation scheduling modes, and when the scheduling adjustment coefficients are low, the power generation unit is adjusted in a hysteresis way, namely, the power generation unit is adjusted after receiving power utilization side feedback; when the adjustment coefficient is scheduled, the adjustment of the power generation unit is real-time adjustment, namely, the adjustment is carried out when the feedback of the power utilization side is received; and when the dispatching adjustment coefficient is high, adjusting the power generation unit to be preset, namely dispatching by adopting an adjustment scheme at the time t-1.
The application further discloses an energy management system aiming at the complex electricity consumption situation of the user at the electricity generation side, wherein the energy management system comprises the electricity consumption side and the electricity generation side, the electricity generation side comprises a plurality of electricity generation units and a data statistics module, the data statistics module is used for counting the electricity consumption load information of the user in the district of the electricity generation side, and the statistics comprises recording the historical electricity consumption situation of the user; recording power generation stability and power generation information of a power generation side at the same time relative to a user power utilization side, and calculating a scheduling adjustment coefficient relative to the power utilization side based on power generation stability parameters and power generation information of the power generation side; the power consumption data calculation module is used for obtaining a power consumption inertial function of a user through fitting according to a power consumption range obtained by historical power consumption conditions of the user at the power consumption side and based on peak data of the obtained power consumption inertial function; the scheduling module is used for adjusting the scheduling priority levels of the power generation units of the power generation side according to the obtained combined power generation scheduling mode of the power generation side corresponding to the scheduling adjustment coefficient to obtain a scheme of the power generation scheduling mode corresponding to the scheduling adjustment coefficient close to the preset scheduling adjustment coefficient, and optimizing the balance of the power utilization side user and the power generation side to finish scheduling; the power utilization side calculates a dispatching adjustment coefficient proportional to the slope of the tangent of the power utilization inertia function, the larger the adjustment coefficient is, the more aggressive the dispatching adjustment is performed, the power generation stability parameter represents the capability of priority adjustment which can be performed by each power generation unit on the power generation side, and the larger the power generation stability parameter is, the stronger the power dispatching capability of each power generation unit is; the power consumption side at the time t calculates a scheduling adjustment coefficient K (t) as follows:
wherein, max (u) is the maximum value in the electricity consumption range obtained by the historical electricity consumption condition of the user at the electricity consumption side, namely the peak value data in the fitted electricity consumption inertia function, and Min (u) is the minimum value in the electricity consumption range obtained by the historical electricity consumption condition of the user at the electricity consumption side; f (t) is a power generation function, gamma (t) is a power generation stability parameter, and theta is a translation coefficient; the obtaining the electric inertia function of the user through fitting further comprises the following steps: the fitting is a two-section fitting function, and is used for respectively fitting idle electricity consumption conditions and high-load electricity consumption conditions, each electric unit of the application respectively has an initial priority level, and after the electricity consumption side at the moment t is received to calculate a scheduling adjustment coefficient, the initial priority level is adjusted when the moment t is reached to obtain a scheme of a power generation scheduling mode corresponding to the scheduling adjustment coefficient close to the preset scheduling adjustment coefficient; the scheduling adjustment coefficients correspond to schemes of different power generation scheduling modes, and when the scheduling adjustment coefficients are low, the power generation unit is adjusted to be in hysteresis adjustment, namely, adjustment is performed after power utilization side feedback is received; when the adjustment coefficient is scheduled, the adjustment of the power generation unit is real-time adjustment, namely, the adjustment is carried out when the feedback of the power utilization side is received; and when the dispatching adjustment coefficient is high, adjusting the power generation unit to be preset, namely dispatching by adopting an adjustment scheme at the time t-1.
The application also provides an electronic device, comprising:
a memory for storing a computer program;
and the processor is used for realizing the steps of the energy management method aiming at the complicated electricity utilization condition of the user at the electricity generation side when executing the computer program.
The application also provides a computer readable storage medium, which is characterized in that the computer readable storage medium stores a computer program, and the computer program realizes the steps of the energy management method aiming at the complicated electricity consumption condition of the user at the electricity generation side when being executed by a processor.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
While the application has been described above with reference to various embodiments, it should be understood that many changes and modifications can be made without departing from the scope of the application. It is therefore intended that the foregoing detailed description be regarded as illustrative rather than limiting, and that it be understood that it is the following claims, including all equivalents, that are intended to define the spirit and scope of this application. The above examples should be understood as illustrative only and not limiting the scope of the application. Various changes and modifications to the present application may be made by one skilled in the art after reading the teachings herein, and such equivalent changes and modifications are intended to fall within the scope of the application as defined in the appended claims.
Claims (7)
1. The energy management method aiming at the complex electricity utilization condition of the user at the electricity generation side is characterized by comprising the following steps:
step 1, counting electricity load information of users in a power generation side district, wherein the counting comprises recording historical electricity consumption conditions of the users; recording power generation stability and power generation information of a power generation side at the same time relative to a user power utilization side, and calculating a scheduling adjustment coefficient relative to the power utilization side based on power generation stability parameters and power generation information of the power generation side;
step 2, obtaining a power consumption inertial function of a user through fitting according to a power consumption range obtained by historical power consumption conditions of the user at a power consumption side, and based on peak value data of the obtained power consumption inertial function;
step 3, adjusting the dispatching priority levels of a plurality of power generation units on the power generation side according to the combined power generation dispatching mode of the power generation side corresponding to the dispatching adjustment coefficient obtained in the step 1 to obtain a scheme of the power generation dispatching mode corresponding to the dispatching adjustment coefficient close to the preset, and optimizing balance of a user on the power utilization side and the power generation side to finish dispatching;
the power generation stability parameters represent the capability of priority adjustment which can be performed by each power generation unit at the power generation side, and the larger the power generation stability parameters are, the stronger the power dispatching capability of each power generation unit is;
the power utilization side at the time t calculates a scheduling adjustment coefficient K (t) as follows:
wherein, max (u) is the maximum value in the electricity consumption range obtained by the historical electricity consumption condition of the user at the electricity consumption side, namely the peak value data in the fitted electricity inertia function, and Min (u) is the minimum value in the electricity consumption range obtained by the historical electricity consumption condition of the user at the electricity consumption side; f (t) is a power generation function, gamma (t) is a power generation stability parameter, and theta is a translation coefficient;
the obtaining the electric inertia function of the user through fitting further comprises the following steps: the fitting is a two-section fitting function used for fitting the idle electricity consumption condition and the high-load electricity consumption condition respectively.
2. The method for managing energy for complicated power consumption by a user on a power generation side according to claim 1, wherein the power consumption side calculates a scheduling adjustment coefficient proportional to a slope of a tangent of the power consumption inertia function, and the larger the adjustment coefficient is, the more aggressive the scheduling adjustment is.
3. The energy management method for complicated electricity consumption conditions of users on a power generation side according to claim 1 or 2, wherein each electric unit has an initial priority level, and after the power consumption side at the time t is received to calculate the scheduling adjustment coefficient, the power generation scheduling mode scheme corresponding to the preset scheduling adjustment coefficient is obtained by adjusting the initial priority level when the time t is reached.
4. The energy management method for complicated electricity consumption conditions of users on the electricity generation side according to claim 3, wherein the scheduling adjustment coefficients correspond to different schemes of the electricity generation scheduling modes, and when the scheduling adjustment coefficients are low, the adjustment of the electricity generation unit is hysteresis adjustment, namely, the adjustment is performed after receiving feedback of the electricity consumption side; when the adjustment coefficient is scheduled, the adjustment of the power generation unit is real-time adjustment, namely, the adjustment is carried out when the feedback of the power utilization side is received; and when the dispatching adjustment coefficient is high, adjusting the power generation unit to be preset, namely dispatching by adopting an adjustment scheme at the time t-1.
5. The energy management system is characterized by comprising an electricity utilization side and an electricity generation side, wherein the electricity generation side comprises a plurality of electricity generation units and a data statistics module, the data statistics module is used for counting electricity utilization load information of users in a district of the electricity generation side, and the statistics comprises recording historical electricity utilization conditions of the users; recording power generation stability and power generation information of a power generation side at the same time relative to a user power utilization side, and calculating a scheduling adjustment coefficient relative to the power utilization side based on power generation stability parameters and power generation information of the power generation side; the power consumption data calculation module is used for obtaining a power consumption inertial function of a user through fitting according to a power consumption range obtained by historical power consumption conditions of the user at the power consumption side and based on peak data of the obtained power consumption inertial function; the scheduling module is used for adjusting the scheduling priority levels of the power generation units of the power generation side according to the obtained combined power generation scheduling mode of the power generation side corresponding to the scheduling adjustment coefficient to obtain a scheme of the power generation scheduling mode corresponding to the scheduling adjustment coefficient close to the preset scheduling adjustment coefficient, and optimizing the balance of the power utilization side user and the power generation side to finish scheduling; the power utilization side calculates a dispatching adjustment coefficient proportional to the slope of the tangent of the power utilization inertia function, the larger the adjustment coefficient is, the more aggressive the dispatching adjustment is performed, the power generation stability parameter represents the capability of priority adjustment which can be performed by each power generation unit on the power generation side, and the larger the power generation stability parameter is, the stronger the power dispatching capability of each power generation unit is; the power consumption side at the time t calculates a scheduling adjustment coefficient K (t) as follows:
wherein, max (u) is the maximum value in the electricity consumption range obtained by the historical electricity consumption condition of the user at the electricity consumption side, namely the peak value data in the fitted electricity consumption inertia function, and Min (u) is the minimum value in the electricity consumption range obtained by the historical electricity consumption condition of the user at the electricity consumption side; f (t) is a power generation function, gamma (t) is a power generation stability parameter, and theta is a translation coefficient; the obtaining the electric inertia function of the user through fitting further comprises the following steps: the fitting is a two-section fitting function, and is used for respectively fitting idle electricity consumption conditions and high-load electricity consumption conditions, each electric unit of the application respectively has an initial priority level, and after the electricity consumption side at the moment t is received to calculate a scheduling adjustment coefficient, the initial priority level is adjusted when the moment t is reached to obtain a scheme of a power generation scheduling mode corresponding to the scheduling adjustment coefficient close to the preset scheduling adjustment coefficient; the scheduling adjustment coefficients correspond to schemes of different power generation scheduling modes, and when the scheduling adjustment coefficients are low, the power generation unit is adjusted to be in hysteresis adjustment, namely, adjustment is performed after power utilization side feedback is received; when the adjustment coefficient is scheduled, the adjustment of the power generation unit is real-time adjustment, namely, the adjustment is carried out when the feedback of the power utilization side is received; and when the dispatching adjustment coefficient is high, adjusting the power generation unit to be preset, namely dispatching by adopting an adjustment scheme at the time t-1.
6. An electronic device, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the energy management method for a complicated electricity usage situation of a user on a power generation side according to any one of claims 1 to 4 when executing the computer program.
7. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, implements the steps of the energy management method for a complicated electricity usage situation of a user on a power generation side according to any one of claims 1 to 4.
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